Marc G. Jaffe

4.3k total citations · 2 hit papers
69 papers, 2.7k citations indexed

About

Marc G. Jaffe is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Economics and Econometrics. According to data from OpenAlex, Marc G. Jaffe has authored 69 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Cardiology and Cardiovascular Medicine, 20 papers in Endocrinology, Diabetes and Metabolism and 16 papers in Economics and Econometrics. Recurrent topics in Marc G. Jaffe's work include Blood Pressure and Hypertension Studies (34 papers), Health Systems, Economic Evaluations, Quality of Life (16 papers) and Global Public Health Policies and Epidemiology (9 papers). Marc G. Jaffe is often cited by papers focused on Blood Pressure and Hypertension Studies (34 papers), Health Systems, Economic Evaluations, Quality of Life (16 papers) and Global Public Health Policies and Epidemiology (9 papers). Marc G. Jaffe collaborates with scholars based in United States, Canada and Australia. Marc G. Jaffe's co-authors include Alan S. Go, Stephen Sidney, Jamal S. Rana, Joseph D. Young, Michael Sorel, Charles P. Quesenberry, Matthew D. Solomon, Mai N. Nguyen‐Huynh, Lawrence H. Kushi and Thomas R. Frieden and has published in prestigious journals such as JAMA, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Marc G. Jaffe

68 papers receiving 2.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Recent Trends in Cardiovascular Mortality in the United States and Public Health Goals

2016 390 citations Stephen Sidney, Charles P. Quesenberry et al. JAMA Cardiology profile →
Improved Blood Pressure Control Associated With a Large-Scale Hypertension Program

2013 349 citations Marc G. Jaffe, Joseph D. Young et al. JAMA profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Marc G. Jaffe United States	28	1.4k	492	471	453	394	69	2.7k
Jiapeng Lu China	23	1.1k 0.8×	243 0.5×	385 0.8×	368 0.8×	576 1.5×	71	3.0k
Panniyammakal Jeemon India	31	1.2k 0.9×	265 0.5×	556 1.2×	202 0.4×	364 0.9×	121	3.0k
Jon-David Schwalm Canada	20	1.0k 0.7×	332 0.7×	170 0.4×	201 0.4×	336 0.9×	67	2.3k
Marie Therese Cooney Ireland	22	1.0k 0.7×	564 1.1×	448 1.0×	394 0.9×	238 0.6×	56	2.4k
Perviz Asaria United Kingdom	13	1.1k 0.8×	271 0.6×	186 0.4×	292 0.6×	495 1.3×	16	2.9k
Safi U. Khan United States	35	1.8k 1.3×	1.0k 2.1×	342 0.7×	410 0.9×	398 1.0×	238	4.2k
Zanfina Ademi Australia	25	558 0.4×	810 1.6×	389 0.8×	814 1.8×	395 1.0×	201	3.1k
Khalid F. AlHabib Saudi Arabia	24	2.1k 1.5×	455 0.9×	305 0.6×	137 0.3×	195 0.5×	117	3.0k
Alberto Cordero Spain	26	1.6k 1.1×	1.1k 2.2×	773 1.6×	360 0.8×	268 0.7×	243	3.3k
Pratik B. Sandesara United States	28	1.6k 1.2×	717 1.5×	612 1.3×	190 0.4×	278 0.7×	86	3.5k

Countries citing papers authored by Marc G. Jaffe

Since Specialization

Citations

This map shows the geographic impact of Marc G. Jaffe's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marc G. Jaffe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc G. Jaffe more than expected).

Fields of papers citing papers by Marc G. Jaffe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc G. Jaffe. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marc G. Jaffe. The network helps show where Marc G. Jaffe may publish in the future.

Co-authorship network of co-authors of Marc G. Jaffe

This figure shows the co-authorship network connecting the top 25 collaborators of Marc G. Jaffe. A scholar is included among the top collaborators of Marc G. Jaffe based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marc G. Jaffe. Marc G. Jaffe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Ordúñez, Pedro, Sonia Y. Angell, Donald J. DiPette, et al.. (2025). Translating Guidelines, Protocols, and Care Pathways for Hypertension Into Effective Program Implementation. American Journal of Hypertension. 39(1). 23–27. 1 indexed citations

2.

Ordúñez, Pedro, Norm R.C. Campbell, Donald J. DiPette, et al.. (2023). HEARTS in the Americas: Targeting Health System Change to Improve Population Hypertension Control. Current Hypertension Reports. 26(4). 141–156. 20 indexed citations

3.

Giraldo, Gloria, Kristy Joseph, Sonia Y. Angell, et al.. (2021). Mapping stages, barriers and facilitators to the implementation of HEARTS in the Americas initiative in 12 countries: A qualitative study. Journal of Clinical Hypertension. 23(4). 755–765. 26 indexed citations

4.

Frieden, Thomas R., Cherian Varghese, Sandeep P. Kishore, et al.. (2019). Scaling up effective treatment of hypertension—A pathfinder for universal health coverage. Journal of Clinical Hypertension. 21(10). 1442–1449. 35 indexed citations

5.

Padwal, Raj, Norm R.C. Campbell, Aletta E. Schutte, et al.. (2019). Optimizing observer performance of clinic blood pressure measurement. Journal of Hypertension. 37(9). 1737–1745. 63 indexed citations

6.

Rana, Jamal S., Andrew J. Karter, Jennifer Y. Liu, Howard H. Moffet, & Marc G. Jaffe. (2018). Improved Cardiovascular Risk Factors Control Associated with a Large-Scale Population Management Program Among Diabetes Patients. The American Journal of Medicine. 131(6). 661–668. 9 indexed citations

7.

Sidney, Stephen, Charles P. Quesenberry, Marc G. Jaffe, et al.. (2016). Recent Trends in Cardiovascular Mortality in the United States and Public Health Goals. JAMA Cardiology. 1(5). 594–594. 390 indexed citations breakdown →

8.

Rana, Jamal S., Jennifer Y. Liu, Howard H. Moffet, et al.. (2016). Ethnic Differences in Risk of Coronary Heart Disease in a Large Contemporary Population. American Journal of Preventive Medicine. 50(5). 637–641. 9 indexed citations

9.

Adams, Alyce S., Melissa M. Parker, Howard H. Moffet, et al.. (2016). Communication Barriers and the Clinical Recognition of Diabetic Peripheral Neuropathy in a Diverse Cohort of Adults: The DISTANCE Study. Journal of Health Communication. 21(5). 544–553. 18 indexed citations

10.

Graetz, Ilana, Jie Huang, Richard Brand, et al.. (2015). The impact of electronic health records and teamwork on diabetes care quality.. PubMed. 21(12). 878–84. 9 indexed citations

11.

Rana, Jamal S., Jennifer Y. Liu, Howard H. Moffet, et al.. (2015). METABOLIC DYSLIPIDEMIA AND RISK OF CORONARY HEART DISEASE IN ADULTS WITH DIABETES AND LOW LDL-CHOLESTEROL. Journal of the American College of Cardiology. 65(10). A1341–A1341. 1 indexed citations

12.

Rana, Jamal S., Jennifer Y. Liu, Howard H. Moffet, et al.. (2015). Metabolic Dyslipidemia and Risk of Coronary Heart Disease in 28,318 Adults With Diabetes Mellitus and Low-Density Lipoprotein Cholesterol <100 mg/dl. The American Journal of Cardiology. 116(11). 1700–1704. 38 indexed citations

13.

Bayliss, Elizabeth A., et al.. (2015). The Diabetes Telephone Study: Design and Challenges of a Pragmatic Cluster Randomized Trial to Improve Diabetic Peripheral Neuropathy Treatment. Value in Health. 18(7). A723–A724. 5 indexed citations

14.

Rana, Jamal S., Jennifer Y. Liu, Howard H. Moffet, Marc G. Jaffe, & Andrew J. Karter. (2015). Diabetes and Prior Coronary Heart Disease are Not Necessarily Risk Equivalent for Future Coronary Heart Disease Events. Journal of General Internal Medicine. 31(4). 387–393. 89 indexed citations

15.

Jaffe, Marc G., et al.. (2013). Improved Blood Pressure Control Associated With a Large-Scale Hypertension Program. JAMA. 310(7). 699–699. 349 indexed citations breakdown →

16.

Selby, Joe V., Julie A. Schmittdiel, Bruce Fireman, et al.. (2012). Improving treatment intensification to reduce cardiovascular disease risk: a cluster randomized trial. BMC Health Services Research. 12(1). 183–183. 10 indexed citations

17.

Potasman, Israel, et al.. (1995). Congenital Toxoplasmosis: A Significant Cause of Neurological Morbidity in Israel?. Clinical Infectious Diseases. 20(2). 259–262. 12 indexed citations

18.

Aanstoot, Henk‐Jan, Engilbert Sigurðsson, Marc G. Jaffe, et al.. (1994). Value of antibodies to GAD65 combined with islet cell cytoplasmic antibodies for predicting IDDM in a childhood population. Diabetologia. 37(9). 917–924. 34 indexed citations

19.

Aanstoot, Henk‐Jan, Engilbert Sigurðsson, Marc G. Jaffe, et al.. (1994). Value of antibodies to GAD65 combined with islet cell cytoplasmic antibodies for predicting IDDM in a childhood population. Diabetologia. 37(9). 917–924. 6 indexed citations

20.

Bækkeskov, Steinunn, Henk‐Jan Aanstoot, Qin Fu, et al.. (1993). The Glutamate Decarboxylase and 38KD Autoantigens in Type 1 Diabetes: Aspects of Structure and Epitope Recognition. Autoimmunity. 15(sup1). 24–26. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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